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Table of Contents
Intro
Contents
About the Authors
Chapter 1: Introduction
1.1 Concepts of Big Data
1.2 Features of Big Data
1.2.1 Big Data Volume
1.2.2 Big Data Velocity
1.2.3 Big Data Variety
1.2.4 Big Data Veracity
1.2.5 Big Data Value
1.3 Big Data Method and Technology
1.4 Remote Sensing Big Data
References
Chapter 2: Remote Sensing
2.1 Concepts
2.2 Sensors
2.2.1 Sensors by Radiometric Spectrums
2.2.1.1 Multi- and Hyperspectral Remote Sensing
2.2.1.2 Active Microwave Remote Sensing
2.2.1.3 Passive Microwave Remote Sensing
2.2.1.4 Active Optical Remote Sensing
2.2.1.5 GPS Remote Sensing
2.2.1.6 Imaging Sonar
2.2.2 Sensors by Work Mode
2.2.2.1 Frame
2.2.2.2 Whiskbroom
2.2.2.3 Pushbroom
2.2.2.4 Side Scanning
2.2.2.5 Conical Scanning
2.3 Platforms
2.3.1 Satellites
2.3.2 Airborne
2.3.3 In Situ
2.3.4 Shipborne
References
Chapter 3: Special Features of Remote Sensing Big Data
3.1 Volume of Remote Sensing Big Data
3.2 Variety of Remote Sensing Big Data
3.3 Velocity of Remote Sensing Big Data
3.4 Veracity of Remote Sensing Big Data
3.5 Value of Remote Sensing Big Data
References
Chapter 4: Remote Sensing Big Data Collection Challenges and Cyberinfrastructure and Sensor Web Solutions
4.1 Remote Sensing Big Data Collection Challenges
4.2 Remote Sensing Big Data Collection Cyberinfrastructure
4.2.1 Global Earth Observation System of Systems (GEOSS)
4.2.2 NASA Earth Observing System (EOS) Data and Information System (EOSDIS)
4.2.3 ESA Federated Earth Observation (FedEO)
4.3 Sensor Web
4.4 Applications
4.4.1 Climate
4.4.2 Weather
4.4.3 Disasters
4.4.4 Agriculture
References
Chapter 5: Remote Sensing Big Data Computing
5.1 Computing Power to Handle Big Data: Distributed and Parallel Computing
5.2 Evolution of Geospatial Computing Platform
5.2.1 Stand-Alone Software System Architecture
5.2.2 Client-Server Software System Architecture
5.2.3 Distributed Computing
5.3 Service-Oriented Architecture (SOA)
5.3.1 Service Roles
5.3.2 Service Operations
5.3.3 Service Chaining
5.3.4 Web Services
5.3.5 Common Technology Stack for Web Services
5.3.5.1 Web Services Description Language (WSDL)
5.3.5.2 Universal Description, Discovery, and Integration (UDDI)
5.3.5.3 The Simple Object Access Protocol (SOAP)
5.3.5.4 Business Process Execution Language (BPEL)
5.3.6 Web Service Applications
5.3.7 Web Service Standards
5.3.8 OGC Web Services
5.3.8.1 Operation Components
5.3.8.1.1 Client Services
5.3.8.1.2 Catalog and Registry Services
5.3.8.1.3 Data Services
5.3.8.1.4 Application Services
5.3.8.2 Data Components
5.3.8.2.1 Geospatial Data
5.3.8.2.2 Geospatial Metadata
5.3.8.2.3 Names
5.3.8.2.4 Relationship
5.3.8.2.5 Containers
Contents
About the Authors
Chapter 1: Introduction
1.1 Concepts of Big Data
1.2 Features of Big Data
1.2.1 Big Data Volume
1.2.2 Big Data Velocity
1.2.3 Big Data Variety
1.2.4 Big Data Veracity
1.2.5 Big Data Value
1.3 Big Data Method and Technology
1.4 Remote Sensing Big Data
References
Chapter 2: Remote Sensing
2.1 Concepts
2.2 Sensors
2.2.1 Sensors by Radiometric Spectrums
2.2.1.1 Multi- and Hyperspectral Remote Sensing
2.2.1.2 Active Microwave Remote Sensing
2.2.1.3 Passive Microwave Remote Sensing
2.2.1.4 Active Optical Remote Sensing
2.2.1.5 GPS Remote Sensing
2.2.1.6 Imaging Sonar
2.2.2 Sensors by Work Mode
2.2.2.1 Frame
2.2.2.2 Whiskbroom
2.2.2.3 Pushbroom
2.2.2.4 Side Scanning
2.2.2.5 Conical Scanning
2.3 Platforms
2.3.1 Satellites
2.3.2 Airborne
2.3.3 In Situ
2.3.4 Shipborne
References
Chapter 3: Special Features of Remote Sensing Big Data
3.1 Volume of Remote Sensing Big Data
3.2 Variety of Remote Sensing Big Data
3.3 Velocity of Remote Sensing Big Data
3.4 Veracity of Remote Sensing Big Data
3.5 Value of Remote Sensing Big Data
References
Chapter 4: Remote Sensing Big Data Collection Challenges and Cyberinfrastructure and Sensor Web Solutions
4.1 Remote Sensing Big Data Collection Challenges
4.2 Remote Sensing Big Data Collection Cyberinfrastructure
4.2.1 Global Earth Observation System of Systems (GEOSS)
4.2.2 NASA Earth Observing System (EOS) Data and Information System (EOSDIS)
4.2.3 ESA Federated Earth Observation (FedEO)
4.3 Sensor Web
4.4 Applications
4.4.1 Climate
4.4.2 Weather
4.4.3 Disasters
4.4.4 Agriculture
References
Chapter 5: Remote Sensing Big Data Computing
5.1 Computing Power to Handle Big Data: Distributed and Parallel Computing
5.2 Evolution of Geospatial Computing Platform
5.2.1 Stand-Alone Software System Architecture
5.2.2 Client-Server Software System Architecture
5.2.3 Distributed Computing
5.3 Service-Oriented Architecture (SOA)
5.3.1 Service Roles
5.3.2 Service Operations
5.3.3 Service Chaining
5.3.4 Web Services
5.3.5 Common Technology Stack for Web Services
5.3.5.1 Web Services Description Language (WSDL)
5.3.5.2 Universal Description, Discovery, and Integration (UDDI)
5.3.5.3 The Simple Object Access Protocol (SOAP)
5.3.5.4 Business Process Execution Language (BPEL)
5.3.6 Web Service Applications
5.3.7 Web Service Standards
5.3.8 OGC Web Services
5.3.8.1 Operation Components
5.3.8.1.1 Client Services
5.3.8.1.2 Catalog and Registry Services
5.3.8.1.3 Data Services
5.3.8.1.4 Application Services
5.3.8.2 Data Components
5.3.8.2.1 Geospatial Data
5.3.8.2.2 Geospatial Metadata
5.3.8.2.3 Names
5.3.8.2.4 Relationship
5.3.8.2.5 Containers